News


05/10/2021: Our research now featured in a Lawrence Berkeley National Lab press release: “Deep Learning Tactics Speed Quantum Simulations”.




  • 01/06/2021: Friederike Metz from Okinawa Institute of Science and Technology joins the group as a visiting PhD student; she will work remotely on reinforcement learning to control quantum many-body sytems using matrix product states.




  • 31/03/2021: Our paper “Noise-Robust End-to-End Quantum Control using Deep Autoregressive Policy Networks” is accepted in Proceedings of Machine Learning Research (to appear in August).


  • 01/03/2021: new master students: Pavel Tashev and Stefan Petrov will work on reinforcement learning to disentangle quantum states


  • 01/12/2020: new bachelor student: Hristo Tonchev will work on matrix-product states for simulation of quantum many-body systems.


  • 15/11/2020: Marin Bukov receives “highly commended” International Quantum Technology Emerging Researcher 2020 Award by IOP Publishing.


  • 15/09/2020: new bachelor student: Georgi Aleksandrov will work on reinforcement learning to control chaotic classical systems.